Run
515749

Run 515749

Task 10104 (Supervised Classification) Smartphone-Based_Recognition_of_Human_Activities Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.gbm(3)Learner classif.gbm from package(s) gbm.
classif.gbm(3)_seed1
classif.gbm(3)_kindMersenne-Twister
classif.gbm(3)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.91
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8485
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.82
Cross-validation details (10-fold Crossvalidation)
KB relative information score
150.2526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10-fold Crossvalidation)
Number of instances
180
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8563
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.85
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.85
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2236
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.752
UserCPU time millis testing
0.102
UserCPU time millis training
2.65